Mixing parameterizations in ocean climate modeling
- 作者: Moshonkin S.1, Gusev A.1,2, Zalesny V.1,2, Byshev V.2
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隶属关系:
- Institute of Numerical Mathematics
- Shirshov Institute of Oceanology
- 期: 卷 52, 编号 2 (2016)
- 页面: 196-206
- 栏目: Article
- URL: https://journals.rcsi.science/0001-4338/article/view/148424
- DOI: https://doi.org/10.1134/S0001433816010084
- ID: 148424
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详细
Results of numerical experiments with an eddy-permitting ocean circulation model on the simulation of the climatic variability of the North Atlantic and the Arctic Ocean are analyzed. We compare the ocean simulation quality with using different subgrid mixing parameterizations. The circulation model is found to be sensitive to a mixing parametrization. The computation of viscosity and diffusivity coefficients by an original splitting algorithm of the evolution equations for turbulence characteristics is found to be as efficient as traditional Monin–Obukhov parameterizations. At the same time, however, the variability of ocean climate characteristics is simulated more adequately. The simulation of salinity fields in the entire study region improves most significantly. Turbulent processes have a large effect on the circulation in the long-term through changes in the density fields. The velocity fields in the Gulf Stream and in the entire North Atlantic Subpolar Cyclonic Gyre are reproduced more realistically. The surface level height in the Arctic Basin is simulated more faithfully, marking the Beaufort Gyre better. The use of the Prandtl number as a function of the Richardson number improves the quality of ocean modeling.
作者简介
S. Moshonkin
Institute of Numerical Mathematics
编辑信件的主要联系方式.
Email: atarexm@himki.net
俄罗斯联邦, ul. Gubkina 8, Moscow, 119333
A. Gusev
Institute of Numerical Mathematics; Shirshov Institute of Oceanology
Email: atarexm@himki.net
俄罗斯联邦, ul. Gubkina 8, Moscow, 119333; pr. Nakhimovskii 36, Moscow, 117997
V. Zalesny
Institute of Numerical Mathematics; Shirshov Institute of Oceanology
Email: atarexm@himki.net
俄罗斯联邦, ul. Gubkina 8, Moscow, 119333; pr. Nakhimovskii 36, Moscow, 117997
V. Byshev
Shirshov Institute of Oceanology
Email: atarexm@himki.net
俄罗斯联邦, pr. Nakhimovskii 36, Moscow, 117997